Zelis
DevOps / Machine Learning Ops Engineer - AWS
Zelis, Trenton, New Jersey, United States,
The Zelis Data Intelligence team is looking for a highly skilled and experienced DevOps Engineer who seeks a role supporting a rapid growth tech-enabled healthcare company. The DevOps Engineer will partner with our corporate Cloud Center of Excellence (CCOE) and be responsible for expanding, managing and maintaining our ZDI Cloud and AI infrastructure on AWS, implementing best practices for automation, and ensuring the reliability, scalability, and security of our systems.
Key Responsibilities
Design, build, and maintain cloud infrastructure on AWS using tools such as CloudFormation and Terraform, following infrastructure as code principles, with a focus on establishing and maintaining best practices for MLOps infrastructure.Manage and optimize AWS services such as AWS Sagemaker and AWS ECSImplement security best practices and ensure compliance with industry standards.Collaborate with development teams to streamline the software development lifecycle.Monitor system performance and troubleshoot issues to ensure uptime and reliability.Design and implement cloud network architecture, including VPCs, subnets, SGs, DNS, load balancers.Implement and manage CI/CD pipelines for automated deployment and testing.Requirements
Extensive experience with AWS system and network architecture design, with specific focus on AWS Sagemaker and AWS ECSStrong proficiency in CloudFormation and Terraform for infrastructure as code.Proficiency in at least one programming language, with preference for Ruby.Strong problem-solving skills and the ability to troubleshoot complex issues.AWS Solutions Architect certifications (optional but preferred)Experience with infrastructure migration projects is a plus.Excellent communication and collaboration skills.EDUCATION
Bachelor’s degree in computer science or equivalent certifications.
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Key Responsibilities
Design, build, and maintain cloud infrastructure on AWS using tools such as CloudFormation and Terraform, following infrastructure as code principles, with a focus on establishing and maintaining best practices for MLOps infrastructure.Manage and optimize AWS services such as AWS Sagemaker and AWS ECSImplement security best practices and ensure compliance with industry standards.Collaborate with development teams to streamline the software development lifecycle.Monitor system performance and troubleshoot issues to ensure uptime and reliability.Design and implement cloud network architecture, including VPCs, subnets, SGs, DNS, load balancers.Implement and manage CI/CD pipelines for automated deployment and testing.Requirements
Extensive experience with AWS system and network architecture design, with specific focus on AWS Sagemaker and AWS ECSStrong proficiency in CloudFormation and Terraform for infrastructure as code.Proficiency in at least one programming language, with preference for Ruby.Strong problem-solving skills and the ability to troubleshoot complex issues.AWS Solutions Architect certifications (optional but preferred)Experience with infrastructure migration projects is a plus.Excellent communication and collaboration skills.EDUCATION
Bachelor’s degree in computer science or equivalent certifications.
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